code: def per_sample_transform(self) -> Callable:
      return T.Compose(
          [
              ApplyToKeys(
                  DataKeys.INPUT,
                  T.Compose(
                      [T.ToTensor(), T.Resize(self.spectrogram_size)]
                  ),
              ),
              ApplyToKeys(DataKeys.TARGET, torch.as_tensor),
          ]
      )
  
file_path: lightning-flash/src/flash/audio/classification/input_transform.py
imports: from dataclasses import dataclass
  from typing import Callable, Optional, Tuple
  import torch
  from flash.core.data.io.input import DataKeys
  from flash.core.data.io.input_transform import InputTransform
  from flash.core.data.transforms import ApplyToKeys
  from flash.core.utilities.imports import _TORCHAUDIO_AVAILABLE, _TORCHVISION_AVAILABLE, requires
label_desc: Use image node_id 2 for calling the AudioClassificationInputTransform obj's underlying member method code with example usage: obj.per_sample_transform() and returns: T